Prepare hot or cold beverages.
Detailed work activity
Prepare hot or cold beverages. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Prepare foods or beverages. in Handling and Moving Objects .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.002% per task.
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Prepare and serve beverages, such as coffee or fountain drinks. · Cooks, Fast Food · importance 4.7 · no direct exposure
- Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas. · Baristas · importance 4.6 · no direct exposure
- Perform food preparation tasks, such as making sandwiches, carving meats, making soups or salads, baking breads or desserts, and brewing coffee or tea. · Cooks, Short Order · importance 4.4 · no direct exposure
- Brew coffee and tea, and fill containers with requested beverages. · Fast Food and Counter Workers · importance 4.1 · no direct exposure
- Prepare and serve a variety of beverages, such as coffee, tea, and soft drinks. · Food Preparation Workers · importance 4.0 · no direct exposure
- Prepare and serve cold drinks, frozen milk drinks, or desserts, using drink-dispensing, milkshake, or frozen-custard machines. · Fast Food and Counter Workers · importance 4.0 · no direct exposure
- Perform food preparation duties, such as preparing salads, appetizers, and cold dishes, portioning desserts, and brewing coffee. · Waiters and Waitresses · importance 4.0 · no direct exposure
- Prepare hot, cold, and mixed drinks for patrons, and chill bottles of wine. · Waiters and Waitresses · importance 4.0 · no direct exposure
Occupations that perform this
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Prepare hot or cold beverages.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/prepare-hot-or-cold-beverages
Singulariki. (2026). Prepare hot or cold beverages.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/prepare-hot-or-cold-beverages
@misc{singulariki-prepare-hot-or-cold-beverages,
title = {Prepare hot or cold beverages.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/prepare-hot-or-cold-beverages}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.